code: def get_default_configs(self) -> List[TensorDockConfigInfoWithCreds]:
      return []
  
file_path: dstack/src/dstack/_internal/server/services/backends/configurators/tensordock.py
imports: import json
  from typing import List
  from dstack._internal.core.backends.tensordock import TensorDockBackend, api_client
  from dstack._internal.core.backends.tensordock.config import TensorDockConfig
  from dstack._internal.core.models.backends.base import BackendType, ConfigElementValue, ConfigMultiElement
  from dstack._internal.core.models.backends.tensordock import AnyTensorDockConfigInfo, TensorDockConfigInfo, TensorDockConfigInfoWithCreds, TensorDockConfigInfoWithCredsPartial, TensorDockConfigValues, TensorDockCreds, TensorDockStoredConfig
  from dstack._internal.server.models import BackendModel, ProjectModel
  from dstack._internal.server.services.backends.configurators.base import Configurator, raise_invalid_credentials_error
label_desc: Use image node_id 1 for calling the TensorDockConfigurator obj's underlying member method code with example usage: obj.get_default_configs() and returns: list